Training materials
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Introduction to proteomics, protein identification, quantification and statistical modelling
intro -
Label-free versus Labelled - How to Choose Your Quantitation Method
DDA id-quant -
Clinical Metaproteomics 1: Database-Generation
label-TMT11 clinical-metaproteomics -
Single Cell Proteomics data analysis with bioconductor-scp
post-process -
metaQuantome 1: Data creation
microgalaxy multi-omics -
metaQuantome 2: Function
microgalaxy multi-omics -
Secretome Prediction
human work-in-progress post-process -
MaxQuant and MSstats for the analysis of TMT data
DDA TMT id-quant -
Peptide and Protein Quantification via Stable Isotope Labelling (SIL)
DDA SILAC id-quant -
Peptide Library Data Analysis
property-prediction